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Package Name Access Summary Updated
pymomentum public A library for human kinematic motion and numerical optimization solvers to apply human motion 2025-09-30
pymomentum-cpu public A library for human kinematic motion and numerical optimization solvers to apply human motion 2025-09-30
momentum public A library for human kinematic motion and numerical optimization solvers to apply human motion 2025-09-30
momentum-cpp public A library for human kinematic motion and numerical optimization solvers to apply human motion 2025-09-30
pillow-heif public Python interface for libheif library 2025-09-30
pandas public Powerful data structures for data analysis, time series, and statistics 2025-09-30
schema-engine-cli public Engine components of Prisma ORM 2025-09-30
astartes public Train:Test Algorithmic Sampling for Molecules and Arbitrary Arrays 2025-09-30
cspice public NASA ancillary information system 2025-09-30
openai public Python client library for the OpenAI API 2025-09-30
plant public PLANT is a collection of software tools developed at the Jet Propulsion Laboratory to support processing and analysis of Synthetic Aperture Radar (SAR) data for ecosystem and land-cover/land-use change science and applications. 2025-09-30
atmosphere-virtual-lab public Atmosphere Virtual Lab 2025-09-30
qt6-main public Qt is a cross-platform application and UI framework. 2025-09-30
ptyrad public PtyRAD: Ptychographic Reconstruction with Automatic Differentiation 2025-09-30
r-spatialsample public Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory. 2025-09-30
dascore public A python library distributed fiber optic sensing 2025-09-30
torchmanager public PyTorch Training Manager v1.4.2 2025-09-30
r-rcarbon public Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>). 2025-09-30
servicex-analysis-utils public servicex-analysis-utils 2025-09-30
pymomentum-gpu public A library for human kinematic motion and numerical optimization solvers to apply human motion 2025-09-30
cmake-no-system public CMake built without system libraries for use when building CMake dependencies. 2025-09-30
r-umx public Quickly create, run, and report structural equation and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. 2025-09-30
r-concaveman public The concaveman function ports the 'concaveman' (<https://github.com/mapbox/concaveman>) library from 'mapbox'. It computes the concave polygon(s) for one or several set of points. 2025-09-30
petsc public PETSc: Portable, Extensible Toolkit for Scientific Computation 2025-09-30
r-dggridr public Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data. 2025-09-30

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